CVE-2026-47102 (GCVE-0-2026-47102)
Vulnerability from cvelistv5 – Published: 2026-05-21 20:34 – Updated: 2026-10-08 15:22 X_Open Source
VLAI
EPSS
VEX
Title
LiteLLM < 1.83.10 Privilege Escalation via User Update
Summary
LiteLLM prior to 1.83.10 allows a user to modify their own user_role via the /user/update endpoint. While the endpoint correctly restricts users to updating only their own account, it does not restrict which fields may be changed. A user who can reach this endpoint can set their role to proxy_admin, gaining full administrative access to LiteLLM including all users, teams, keys, models, and prompt history. Users with the org_admin role have legitimate access to this endpoint and can exploit this vulnerability without chaining any additional flaw.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-22 00:00 UTC
CWE
Assigner
References
11 references
| URL | Tags |
|---|---|
| https://www.obsidiansecurity.com/blog/litellm-pri… | technical-descriptionexploit |
| https://gist.github.com/13ph03nix/9ec616e1fdc77b3… | exploittechnical-description |
| https://huntr.com/bounties/8e75edfb-ff05-4e63-bfc… | third-party-advisoryexploit |
| https://github.com/BerriAI/litellm/releases/tag/v… | release-notes |
| https://github.com/BerriAI/litellm/pull/25541 | issue-tracking |
| https://github.com/BerriAI/litellm/commit/e6f18ce… | patch |
| https://github.com/BerriAI/litellm/commit/128d32d… | patch |
| https://www.vulncheck.com/advisories/litellm-priv… | third-party-advisory |
| https://access.redhat.com/security/cve/CVE-2026-47102 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2480634 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
Impacted products
4 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| BerriAI | litellm |
Affected:
0 , < 1.83.10
(semver)
cpe:2.3:a:litellm:litellm:*:*:*:*:*:*:*:* |
||
| Red Hat | Exploit Intelligence |
cpe:/a:redhat:exploit_intelligence:0
|
||
| Red Hat | Red Hat Ansible Automation Platform 2 |
cpe:/a:redhat:ansible_automation_platform:2
|
||
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai
|
Date Public
2026-04-27 00:00
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.